Sfoglia per Relatore
Artificial Intelligence approaches for Heating Elements: algorithmic solutions in the the IoT scenario
2023/2024 MINATO, ALESSANDRO
Artificial Intelligence for Computer Vision
2023/2024 TOFFOLETTO, MARCO
Automated Dynamic Rock Typing based on Relative Permeability curves
2023/2024 AINESAZI DOVOM, SINA
Automated environment for the analysis of ASPICE compliance for automotive FW
2022/2023 ABDENNADHER, NORHEN
AutoML for Advanced Monitoring in Digital Manufacturing and Industry 4.0
2022/2023 PERATONER, ALESSANDRO
Bias negli algoritmi di Machine Learning - Il caso degli algoritmi per l'assistenza sanitaria negli Stati Uniti
2021/2022 MONACO, FRANCESCO PIO
Building the Next-Gen Search Engine with Large Language Models & Retrieval Augmented Generation
2023/2024 BEZZINA, MALEK
Calibration and Comparison of Regressive Neural Network Models for Environmental Parameter Forecasting for Sewage Water System
2022/2023 DAVUT, EMRE
Calibration of complex semiconductor manufacturing simulations by means of Deep Reinforcement Learning
2022/2023 SOLDÀ, PIETRO
Collaborative filtering for recommender systems with implicit feedback
2021/2022 CONTE, MASSIMILIANO
Comparative Evaluation and Implementation of State-of-the-Art Techniques for Anomaly Detection and Localization in the Continual Learning Framework
2022/2023 BUGARIN, NIKOLA
Comprehensive Analysis of LLMs in Practice: PDF Parsing, Advanced Prompt Engineering, and Retrieval-Augmented Generation
2023/2024 SARTOR, NICOLÒ
Continual Learning and Fairness Techniques for Pathology Classification of Chest X-ray Images
2022/2023 CECCON, MARINA
Continual Multi-agent Reinforcement Learning applied in cooperative games
2023/2024 CASADEI, OLIVIA
CONTROLLABILITA' DI UNA SUPPLYCHAIN E POLITICA MONETARIA CON CONTROLLORI PID
2020/2021 MILANI, RICCARDO
Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study
2023/2024 BONI, FILIPPO
A deep learning-based approach for defect classification with context information in semiconductor manufacturing
2020/2021 Arena, Simone
Deep Learning-based approaches for Defect Classification with context information in semiconductor manufacturing
2020/2021 CUNI, PAULI
Deep Reinforcement Learning Approaches for the Game of Briscola
2022/2023 SINGH, AMANPREET
Defect Classification in Semiconductor Manufacturing Images: A Novel Weakly Supervised Approach
2023/2024 GROTTO, GIONATA
Tipologia | Anno | Titolo | Titolo inglese | Autore | File |
---|---|---|---|---|---|
Lauree magistrali | 2023 | Artificial Intelligence approaches for Heating Elements: algorithmic solutions in the the IoT scenario | Artificial Intelligence approaches for Heating Elements: algorithmic solutions in the the IoT scenario | MINATO, ALESSANDRO | |
Lauree triennali | 2023 | Artificial Intelligence for Computer Vision | Artificial Intelligence for Computer Vision | TOFFOLETTO, MARCO | |
Lauree magistrali | 2023 | Automated Dynamic Rock Typing based on Relative Permeability curves | Automated Dynamic Rock Typing based on Relative Permeability curves | AINESAZI DOVOM, SINA | |
Lauree magistrali | 2022 | Automated environment for the analysis of ASPICE compliance for automotive FW | Automated environment for the analysis of ASPICE compliance for automotive FW | ABDENNADHER, NORHEN | |
Lauree magistrali | 2022 | AutoML for Advanced Monitoring in Digital Manufacturing and Industry 4.0 | AutoML for Advanced Monitoring in Digital Manufacturing and Industry 4.0 | PERATONER, ALESSANDRO | |
Lauree triennali | 2021 | Bias negli algoritmi di Machine Learning - Il caso degli algoritmi per l'assistenza sanitaria negli Stati Uniti | Bias in Machine Learning algorithms - The case of medical assistance algorithms in the United States | MONACO, FRANCESCO PIO | |
Lauree magistrali | 2023 | Building the Next-Gen Search Engine with Large Language Models & Retrieval Augmented Generation | Building the Next-Gen Search Engine with Large Language Models & Retrieval Augmented Generation | BEZZINA, MALEK | |
Lauree magistrali | 2022 | Calibration and Comparison of Regressive Neural Network Models for Environmental Parameter Forecasting for Sewage Water System | Calibration and Comparison of Regressive Neural Network Models for Environmental Parameter Forecasting for Sewage Water System | DAVUT, EMRE | |
Lauree magistrali | 2022 | Calibration of complex semiconductor manufacturing simulations by means of Deep Reinforcement Learning | Calibration of complex semiconductor manufacturing simulations by means of Deep Reinforcement Learning | SOLDÀ, PIETRO | |
Lauree magistrali | 2021 | Collaborative filtering for recommender systems with implicit feedback | Collaborative filtering for recommender systems with implicit feedback | CONTE, MASSIMILIANO | |
Lauree magistrali | 2022 | Comparative Evaluation and Implementation of State-of-the-Art Techniques for Anomaly Detection and Localization in the Continual Learning Framework | Comparative Evaluation and Implementation of State-of-the-Art Techniques for Anomaly Detection and Localization in the Continual Learning Framework | BUGARIN, NIKOLA | |
Lauree magistrali | 2023 | Comprehensive Analysis of LLMs in Practice: PDF Parsing, Advanced Prompt Engineering, and Retrieval-Augmented Generation | Comprehensive Analysis of LLMs in Practice: PDF Parsing, Advanced Prompt Engineering, and Retrieval-Augmented Generation | SARTOR, NICOLÒ | |
Lauree magistrali | 2022 | Continual Learning and Fairness Techniques for Pathology Classification of Chest X-ray Images | Continual Learning and Fairness Techniques for Pathology Classification of Chest X-ray Images | CECCON, MARINA | |
Lauree magistrali | 2023 | Continual Multi-agent Reinforcement Learning applied in cooperative games | Continual Multi-agent Reinforcement Learning applied in cooperative games | CASADEI, OLIVIA | |
Lauree triennali | 2020 | CONTROLLABILITA' DI UNA SUPPLYCHAIN E POLITICA MONETARIA CON CONTROLLORI PID | Controllability of a SupplyChain, Monetary Policy and PID control | MILANI, RICCARDO | |
Lauree magistrali | 2023 | Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study | Deep Learning Approaches for OEE Forecasting: a Semiconductor Manufacturing Case Study | BONI, FILIPPO | |
Lauree magistrali | 2020 | A deep learning-based approach for defect classification with context information in semiconductor manufacturing | - | Arena, Simone | |
Lauree magistrali | 2020 | Deep Learning-based approaches for Defect Classification with context information in semiconductor manufacturing | Deep Learning-based approaches for Defect Classification with context information in semiconductor manufacturing | CUNI, PAULI | |
Lauree magistrali | 2022 | Deep Reinforcement Learning Approaches for the Game of Briscola | Deep Reinforcement Learning Approaches for the Game of Briscola | SINGH, AMANPREET | |
Lauree magistrali | 2023 | Defect Classification in Semiconductor Manufacturing Images: A Novel Weakly Supervised Approach | Defect Classification in Semiconductor Manufacturing Images: A Novel Weakly Supervised Approach | GROTTO, GIONATA |
Legenda icone
- file ad accesso aperto
- file ad accesso riservato
- file sotto embargo
- nessun file disponibile